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Found 8 papers, 5 papers with code
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to utilize labeled data from a source domain to solve tasks in an unlabeled target domain, often hindered by significant domain gaps.
Ranked #1 on
Unsupervised Domain Adaptation
on VisDA2017
(ACC metric)
XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration
Accurate multispectral image matching presents significant challenges due to non-linear intensity variations across spectral modalities, extreme viewpoint changes, and the scarcity of labeled datasets.
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
Yet, there is a gap in the literature to provide a well-generalized deep learning-based solution that performs well on images with unknown and highly complex degradations.
HSTR-Net: Reference Based Video Super-resolution with Dual Cameras
High-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information.
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance
Wide area surveillance has many applications and tracking of objects under observation is an important task, which often needs high spatio-temporal resolution (HSTR) video for better precision.
Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems.
HM-Net: A Regression Network for Object Center Detection and Tracking on Wide Area Motion Imagery
Wide Area Motion Imagery (WAMI) yields high-resolution images with a large number of extremely small objects.
Multi-hypothesis contextual modeling for semantic segmentation
Instead of using a fixed segmentation and neighborhood definition, we explore various contextual models for fusion of complementary information available in alternative segmentations of the same image.
